A surgical navigation system to assist in chronic total occlusion intervention

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The conventional intervention for chronic total occlusion (CTO) of the coronary artery has crucial challenges for its successful outcome; surgeons should understand the vascular anatomy and the instrument location, solely depending on two-dimensional (2D) X-ray images. Excessive doses of both X-ray radiation and the contrast agent from continuous fluoroscopy are also critical limitations in clinical practice. To overcome the problem, we propose a surgical navigation system to guide the CTO intervention and delineate technical details to implement the system. The proposed system provides overlay of a 3D computed tomographic angiography (CTA) model onto X-ray images, virtual reality, and multi-planar reconstruction images. We expect the proposed navigation system to potentiate the procedure with reduced operating time, while alleviating the limitations regarding immoderate doses of X-ray radiation and contrast agent by reduced use of fluoroscopy.

Original languageEnglish
Title of host publication2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages132-134
Number of pages3
ISBN (Electronic)9781509008216
DOIs
StatePublished - 21 Oct 2016
Event13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016 - Xian, China
Duration: 19 Aug 201622 Aug 2016

Publication series

Name2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016

Conference

Conference13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016
Country/TerritoryChina
CityXian
Period19/08/1622/08/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

  • Chronic total occlusion
  • Computed tomographic angiography
  • Surgical navigation
  • X-ray image

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